Enhancing sketch-based sport video retrieval by suggesting relevant motion paths

Al Kabary, Ihab and Schuldt, Heiko. (2014) Enhancing sketch-based sport video retrieval by suggesting relevant motion paths. In: SIGIR '14 : proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, July 6 - 7, 2014, Gold Coast, Queensland, Australia. New York, NY, pp. 1227-1230.

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Official URL: http://edoc.unibas.ch/dok/A6298853

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Searching for scenes in sport videos is a task that recurs very often in game analysis done by coaches and other related activities. In most cases, queries are formulated on the basis of specific motion characteristics the user remembers from the video. Providing sketching interfaces for graphically specifying query input is thus a very natural user interaction for a retrieval application. However, the quality of the query (the sketch) heavily depends on the memory of the user of and her ability to accurately formulate the intended search query by transforming this 3D memory of the known item(s) into 2D sketch query. In this paper, we present an auto-suggest search feature that harnesses spatiotemporal data of sport videos to suggest potential directions containing relevant data during the formulation of a sketch-based motion query. Users can intuitively select the direction of the desired motion query on-the-fly using the displayed visual clues, thus relaxing the need for relying heavily on memory to formulate the query, and at the same time significantly enhancing the accuracy of the results and the speed at which they appear. A first evaluation has shown the effectiveness and efficiency of our approach.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Databases and Information Systems (Schuldt)
UniBasel Contributors:Schuldt, Heiko and El-Kabary, Ihab
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:05 Jun 2015 08:53
Deposited On:05 Jun 2015 08:53

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